Production and operations management for intelligent manufacturing: A systematic literature review

L Zhou, Z Jiang, N Geng, Y Niu, F Cui… - International Journal of …, 2022 - Taylor & Francis
In the context of Industry 4.0, the manufacturing sector is moving from automation towards
intelligence. The application of new generation information and communication …

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

W Derigent, O Cardin, D Trentesaux - Journal of Intelligent Manufacturing, 2021 - Springer
The flexibility claimed by the next generation production systems induces a deep
modification of the behaviour and the core itself of the control systems. Over-connectivity and …

Machine learning based digital twin framework for production optimization in petrochemical industry

Q Min, Y Lu, Z Liu, C Su, B Wang - International Journal of Information …, 2019 - Elsevier
Digital twins, along with the internet of things (IoT), data mining, and machine learning
technologies, offer great potential in the transformation of today's manufacturing paradigm …

Classification of cyber-physical production systems applications: Proposition of an analysis framework

O Cardin - Computers in Industry, 2019 - Elsevier
Cyber-physical systems have encountered a huge success in the past decade in several
scientific communities, and specifically in production topics. The main attraction of the …

Transitioning from standard automation solutions to cyber-physical production systems: an assessment of critical conceptual and technical challenges

L Ribeiro, M Björkman - IEEE systems journal, 2017 - ieeexplore.ieee.org
The concept of Industry 4.0, or the Fourth Industrial Revolution, has the potential for radically
increased system reconfigurability and flexibility. At its core, the notion of cyber-physical …

[HTML][HTML] Neural agent-based production planning and control: An architectural review

M Panzer, B Bender, N Gronau - Journal of Manufacturing Systems, 2022 - Elsevier
Nowadays, production planning and control must cope with mass customization, increased
fluctuations in demand, and high competition pressures. Despite prevailing market risks …

Reactive scheduling approach for solving a realistic flexible job shop scheduling problem

B Mihoubi, B Bouzouia, M Gaham - International journal of …, 2021 - Taylor & Francis
Reactive Scheduling (RS) and the realistic Flexible Job Shop Scheduling Problem (FJSSP)
are of major importance for the implementation of real-world manufacturing systems. The …

Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

O Cardin, D Trentesaux, A Thomas, P Castagna… - Journal of Intelligent …, 2017 - Springer
Nowadays, industrials are seeking for models and methods that are not only able to provide
efficient overall production performance, but also for reactive systems facing a growing set of …

Perspective on holonic manufacturing systems: PROSA becomes ARTI

P Valckenaers - Computers in Industry, 2020 - Elsevier
Looking back at 30 years of research into holonic manufacturing systems, these explorations
made a lasting scientific contribution to the overall architecture of intelligent manufacturing …

Toward an automated learning control architecture for cyber-physical manufacturing systems

I Kovalenko, J Moyne, M Bi, EC Balta, W Ma… - IEEE …, 2022 - ieeexplore.ieee.org
Manufacturers are constantly looking to enhance the performance of their manufacturing
systems by improving their ability to address disruptions and disturbances, while reducing …